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			<h1 class="h2 artw"><strong><span>CAAI&emsp;2022&emsp;</span>特约报告</strong></h1>
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					<li class="h3" style="color:red;">特邀报告</li>
					<li><b>时间：2022年4月17日</b></li>
					<li><b>地点：天津大学2003会议室</b></li>
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				   <h4 class="media-heading">王啸</h4>
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					   周志华，南京大学教授，ACM Distinguished Scientist，IEEE Fellow，IAPR Fellow，中国计算机学会会士。国家杰出青年基金获得者，长江学者特聘教授。主要从事机器学习、数据挖掘、模式识别等领域的研究工作，出版英文著作一部，获发明专利十余项，在一流国际期刊和顶级国际会议发表论文逾百篇，被引用万余次。先后担任十六种SCI(E)期刊编委，现任《Frontiers of Computer Science》执行主编，《中国科学：信息科学》等刊副主编，ACM TIST、IEEE TNNLS等刊副编辑。四十余次国际会议主席或领域主席，系列国际会议ACML发起人，现任ACML指导委员会主席，PAKDD、PRICAI指导委员会委员，IJCAI 2015顾问委员会委员及机器学习总主席，IEEE ICDM 2015程序委员会主席等。曾获国家自然科学二等奖、两次教育部自然科学一等奖、IEEE计算智能杰出青年成就奖、中国青年科技奖、微软教授奖、霍英东青教一等奖、12次国际期刊/会议论文、报告或竞赛奖等。已培养毕业博士生9名，硕士生20余名，学生获全国优博1次，CCF优博7次、江苏省优博/硕7次、微软学者7次等。
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					<b>主讲题目：</b> <span>异构图图神经网络</span><br>
					<b>主讲时间：</b> <time>2022-11-20&nbsp;14:00~16:00</time><br>
					<b>内容简介：</b> 
					<span class="h5">
					The emergence of massive image data has urged effective and efficient techniques towards large-scale image search and classification. Generally, the introduction of local invariant features and the Bag-of-Words model has witnessed the development of both research fields. However, this model suffers from both the information loss during vector quantization and the deficiency in the descriptive power of various aspects of images. In the light of this problem, this talk will present several recent works in our group that focus on the discriminative representations in image search and classification. To be specific, I will first describe feature representations such as binary descriptors, region/part descriptors including CNN, as well as informative quantization. Then, in accordance to the descriptors, I will introduce a series of recently proposed indexing schemes aiming at reducing both memory and time cost, such as cross-index, cascade category-aware index, tensor-index, super-image index, etc. Third, I will present some exciting advances in discriminative feature fusion strategies, such as coupled multi-index, bayes merging, co-index, etc. Moreover, our recent works on post-processing such as ImageWeb, query-adaptive fusion will also be discussed. Last but not least, I will summarize our achievements in advancing the state-of-the-arts on benchmark datasets in image search and classification.
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				   <h4 class="media-heading">王啸</h4>
				   <p>这是一些示例文本。这是一些示例文本。这是一些示例文本。这是一些示例文本。这是一些示例文本。这是一些示例文本。这是一些示例文本。这是一些示例文本。</p>
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					<b>主讲题目：</b> <span>异构图图神经网络</span><br>
					<b>主讲时间：</b> <time>2022-11-20&nbsp;14:00~16:00</time><br>
					<b>内容简介：</b> <span class="h5">是一些示例文本。这是一些示例文本。这是一些示例文本。这是一些示例文本。这是</span>
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						<h3> <i class="fa fa-user"></i>往期回顾</h3>
	
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						2022年第一届CAAI大会将在天津市举办，为了办好 CAAI 2022 这一盛会，我们诚挚邀请大家踊跃赞助！
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						<h3> <i class="fa fa-pencil"></i> 会议信息</h3>
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							<li>2022年4月15日（星期五）正式报到，报到地点：天津大学北洋园校区，时间：10:00～23:00。</li>
							<li>2022年4月16日（星期六）全天开会，安排5个特邀报告，每个报告（含提问环节）一小时。</li>
							<li>2022年4 月17日（星期天）上午，专题讨论会，每个报告15分钟；下午代表离会或自由安排。</li>
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								联系方式：<br>
								
								天津大学智能与计算学部&nbsp;
								<br>金弟&nbsp;15822541480&nbsp;jindi@tju.edu.cn
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								河北工业大学人工智能与数据科学学院&nbsp; 
								<br>杨亮 &nbsp; 13752497682&nbsp;yangliang@vip.qq.com
	
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